Resources Repository
-
ArticlePublication 2017Benefit and Harm of Intensive Blood Pressure Treatment: Derivation and Validation of Risk Models Using Data from the Sprint and Accord Trials
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some …
Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some serious adverse events. The authors sought to create risk calculators to estimate individual patients’ chances of benefit and harm from intensive treatment. They developed statistical models of cardiovascular events and serious adverse events from individual participant data from the Systolic Blood Pressure Intervention Trial (SPRINT) of intensive blood pressure treatment (N = 9,069 with complete covariate data) and validated them…
Evidence Synthesis | Probability/Bayes | Chronic Disease/Risk | Health Outcomes -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Evidence Synthesis | Decision Analysis | Chronic Disease/Risk | Preferences/Values | Mathematical Models | Cost-Effectiveness Analysis | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Calibration/Validation | Chronic Disease/Risk | Mathematical Models | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Evidence Synthesis | Calibration/Validation | Chronic Disease/Risk | Costing Methods | Mathematical Models | Microsimulation | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
GuidelinesPublication 2013Decision and Simulation Modeling in Systematic Reviews
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic …
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The purpose of systematic reviews is to synthesize the current scientific literature on a particular topic in the form of evidence reports and technology assessments to assist public and private organizations in developing strategies that improve the quality of health care and decision making. However, there…
Evidence Synthesis | Decision Analysis | Chronic Disease/Risk | Mathematical Models | Infectious Diseases | Child/Nutrition | Health/Medicine | North America -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Decision Analysis | Calibration/Validation | Chronic Disease/Risk | Mathematical Models | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Economics/Finance | Food/Agriculture | Health/Medicine -
BookPublication 1980Clinical Decision Analysis
This text was conceived and developed in the Harvard T.H. Chan School of Public Health …
This text was conceived and developed in the Harvard T.H. Chan School of Public Health at the Center for the Analysis of Health Practices. The book had its origins in a set of classroom materials developed during the academic year 1974-75 for an elective course in medical decision making at the Harvard Medical School. In this book students are shown how to structure clinical decision problems, how to systematically formulate the intertwining roles of diagnosis and treatment, how to…
Probability/Bayes | Decision Analysis | Chronic Disease/Risk | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Economics/Finance | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Cost-Effectiveness of Screening and Treatment for Hypertension
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, …
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, and cost-effectiveness analysis. This resource pack provides examples of decision analyses and cost-effectiveness analyses for the management and treatment of hypertension, with a predominant focus on the U.S. Analyses are included that predate the 2017 American College of Cardiology/American Heart Association Clinical Practice Guidelines, along with more recent examples that followed release of the guidelines. Resources are also included that…
Decision Analysis | Chronic Disease/Risk | Preferences/Values | Test Performance | Cost-Effectiveness Analysis | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Probability/Bayes | Chronic Disease/Risk | Decision Theory | Decision Psychology | Preferences/Values | Clinical Care | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy